• DocumentCode
    2245053
  • Title

    Cloud Assisted P2P Media Streaming for Bandwidth Constrained Mobile Subscribers

  • Author

    Jin, Xin ; Kwok, Yu-Kwong

  • Author_Institution
    Dept. of Electr. & Electron. Engg, Univ. of Hong Kong, Hong Kong, China
  • fYear
    2010
  • fDate
    8-10 Dec. 2010
  • Firstpage
    800
  • Lastpage
    805
  • Abstract
    Multimedia streaming applications have disruptively occupied bandwidth in wire line Internet, yet today´s fledging mobile media streaming still poses many challenges in efficient content distribution due to the form of mobile devices. At the same time, cloud computing is gaining power as a promising technology to transform IT industry and many eminent enterprises are developing their own cloud infrastructures. However, the lack of applications hinders clouds´ large-scale implementation. In this paper, we envision a cloud-assisted power-efficient mobile P2P media streaming architecture that addresses the weakness of today´s wireless access technologies. Clouds are responsible for storage and computing demanding tasks, and mobile devices colocating with each other share bandwidth and cooperatively stream media content to distribute the load. We first model interactions among mobile devices as a coalition game, and then discuss the optimal chunk retrieval scheduling. Finally, we draw on realistic mobile phone data and utilize an ARIMA model for colocation duration prediction among mobile devices.
  • Keywords
    cloud computing; media streaming; mobile radio; peer-to-peer computing; ARIMA model; IT industry; Internet; bandwidth constrained mobile subscribers; cloud assisted P2P media streaming; cloud computing; cloud infrastructures; mobile devices; mobile media streaming; mobile phone data; multimedia streaming applications; wireless access technologies; ARIMA; cloud; coalition game; cooperative mobile media streaming; p2p;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Systems (ICPADS), 2010 IEEE 16th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    1521-9097
  • Print_ISBN
    978-1-4244-9727-0
  • Electronic_ISBN
    1521-9097
  • Type

    conf

  • DOI
    10.1109/ICPADS.2010.78
  • Filename
    5695686